Who we are:
Mediafly is the leading revenue enablement platform market-facing teams use to plan, predict, coach, and engage at the highest levels. Our unified suite of solutions create immersive buyer experiences; enable sellers to lead with value, allow managers to scale coaching, and empower leaders to forecast with confidence. In today’s unpredictable market, Mediafly is the key to delivering predictable efficient growth.
The Senior Data Architect will define and drive the strategy, design, and governance of our information and data architecture across our product ecosystem. This role is pivotal in ensuring our applications deliver intuitive, measurable, and high-impact user experiences by aligning data structures, information flows, and AI capabilities with business goals. You will partner closely with UI/UX, engineering, and product management to optimize how structured and unstructured information is modeled, navigated, integrated, and consumed.

PREFERRED SKILLS:

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• Experience supporting agentic and generative AI use cases.

• Experience designing for Salesforce Agentforce use cases, including skill design, retrieval-augmented generation (RAG), and contextual AI integration.
• Familiarity with semantic search, vector databases, and knowledge graphs.
• Background in SaaS, enterprise applications, or ISV product environments.
• 3+ years using Python, R, SQL for analytics
• 5+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them.
• Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
• Salesforce Platform Data Architect and Platform Integration Architect Certifications

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• Information Architecture & User Journey

• Design the structure, categorization, and navigation of information to align with user workflows and journey stages.
• Collaborate with UI/UX to create cohesive, intuitive experiences that improve findability, task completion, and engagement.
• Define and maintain logical content hierarchies for rapid access to data, reports, and documentation.
• Ensure information models and navigation patterns support Data Cloud-driven personalization and Agentforce contextual guidance.